Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Efficient Uncertainty Quantification of Wharf Structures under Seismic Scenarios Using Gaussian Process Surrogate Model
The scenario-based seismic assessment approach is illustrated within a large-scale pile-supported wharf structure (PSWS). As nonlinear seismic response analysis is computationally expensive, a novel and efficient method is developed to improve and update the traditional simulation methods. Herein, the Gaussian Process (GP) surrogate model is proposed to replace the time-consuming FE model of PSWS, which makes the quantification of uncertainty in seismic response of a large-scale PSWS resulting from structural parameter uncertainty more computationally-efficient. The feasibility of the proposed approach in seismic assessment of a large-scale PSWS under a given seismic scenario is verified by using Monte Carlo simulation.
Efficient Uncertainty Quantification of Wharf Structures under Seismic Scenarios Using Gaussian Process Surrogate Model
The scenario-based seismic assessment approach is illustrated within a large-scale pile-supported wharf structure (PSWS). As nonlinear seismic response analysis is computationally expensive, a novel and efficient method is developed to improve and update the traditional simulation methods. Herein, the Gaussian Process (GP) surrogate model is proposed to replace the time-consuming FE model of PSWS, which makes the quantification of uncertainty in seismic response of a large-scale PSWS resulting from structural parameter uncertainty more computationally-efficient. The feasibility of the proposed approach in seismic assessment of a large-scale PSWS under a given seismic scenario is verified by using Monte Carlo simulation.
Efficient Uncertainty Quantification of Wharf Structures under Seismic Scenarios Using Gaussian Process Surrogate Model
Su, Lei (Autor:in) / Wan, Hua-Ping (Autor:in) / Dong, You (Autor:in) / Frangopol, Dan M. (Autor:in) / Ling, Xian-Zhang (Autor:in)
Journal of Earthquake Engineering ; 25 ; 117-138
02.01.2021
22 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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